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• W2057393352 abstract "Abstract This paper presents a dynamic structural equation model (SEM) that explicitly addresses complicated causal relationships among socio-demographics, activity participation, and travel behavior. The model assumes that activity participation and travel patterns in the current year are affected by those in previous years. Using the longitudinal dataset collected from Puget sound transportation panel ‘wave 3’ and ‘wave 4,’ these assumptions are tested with suggested SEMs. Within each wave, the model is structured to have a three-level causal relationship that describes interactions among endogenous variables under time-budget constraints. The resulting coefficients representing the activity durations indicate that people tend to allocate their time according to the importance and the obligation of the activity level. Results from the dynamic SEM confirm the fact that people's current activity and travel behavior do have effects on those in the future. The resulting model also shows that activity partic..." @default.
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• W2057393352 date "2009-04-01" @default.
• W2057393352 modified "2023-10-12" @default.
• W2057393352 title "A structural equation model of activity participation and travel behavior using longitudinal data" @default.
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• W2057393352 doi "https://doi.org/10.1080/03081060902861392" @default.
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